Changeset 3668:3ad66d0291b8 in orange


Ignore:
Timestamp:
05/18/07 11:01:37 (7 years ago)
Author:
ales_erjavec <ales.erjavec@…>
Branch:
default
Convert:
d99c214eca06f8b117cc199f00d9b5e2191b80e3
Message:

Added SVMLearnerSparse

File:
1 edited

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  • orange/doc/reference/SupportVectorMachines.htm

    r3521 r3668  
    5757  <dd>Determines if a probability model should be build (default False)</dd> 
    5858</dl> 
     59<h2>SVMLearnerSparse</h2> 
     60<p><INDEX name="classes/SVMLearnerSparse">Same as above except that it learns from the examples mata attributes.  Note that meta attributes dont need to be registerd with the dataset domain, or present in all the examples. 
     61Use this if you are using large sparse datasets. </p> 
     62 
    5963<h2>SVMClassifier</h2> 
    6064<p>Classifier used for classification, regression or distribution estimation (ONE_CLASS). In the later case the return value of the __call__ function can be 1.0 (positive case) or -1.0(negative case).</p> 
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